What is Decision Server Insights
Decision Server Insights is a scalable transactional event processing system with rule-based temporal reasoning and analytics capabilities.
Decision Server Insights provides the tools to build scalable solutions that listen for and respond to the events that affect your business. You can use this insight of your business activities to make informed decisions and initiate the correct action.
Events happen to real-world objects such as customers, patients, or trains, and these objects are modeled as entities. A Decision Server Insights solution can update the state of these entities as a result of an event and alert you to possible inefficiencies, opportunities, and threats in the real-world.
Decision Server Insights uses a four-step approach to help your business decide what actions to take at the right time:
- Sense what is happening.
- Build the context of your situation.
- Decide what to do when something happens that affects the situation.
- Act on the changed situation by doing something.
A situation represents a business threat (for example fraud or a late package delivery) or an opportunity (for example a cross-sell promotion or a flight-delay location-based promotion). Decision Server Insights uses correlation, temporal pattern matching rules, and aggregations to detect relevant business situations. These rules define the situation and how the business decides to respond to it. When a situation is detected, other rules can be used to determine an appropriate action. The action is triggered by emitting an event and optionally updating the state of the entity of interest.
The following scenario provides a simple example to demonstrate the four-step process to act quickly and consistently to events in a package delivery business:
- Sense
- A late package situation occurs when a customer who requested a Saturday delivery does not have the package at 3 p.m. and the package is more than 50 kilometers from the delivery address.
- Build
- Use business rules, predictive and real-time analytics to define and update the package delivery business policies.
- Decide
- If the customer ordered more than 200 US dollars of packages in the past 12 months.
- Act
- Offer the customer a 10 dollar coupon on the next shipment.
Detection, decision, and action logic can be split or combined across rules as needs dictate.